No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by scaling-group · Codex Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is eve safe to install? View the security audit →
EvE: Evolutionary Ensemble of Agents Scientific Computing and Intelligence Group (Scaling Group) @ NUS Paper · Overview · Quick Start · How It Works · Set Up Your Own Task · <a href="#example-icon-context-length-g
| Stars | 55 |
| Forks | 8 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 66.5462759758668/100 |
| Last Updated | 2026-08-20 |
| Created | 2026-04-30 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
These tools work well together with eve for enhanced workflows:
Looking for a eve alternative? If you're comparing eve with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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eve is EvE is an open-source framework for co-evolving ensembles of coding agents. Wrap any coding agent — Codex, Claude Code — into an evolutionary loop that co-evolves solvers and agent guidance.. It is categorized as a Codex Skill with 55 GitHub stars.
eve is primarily written in Python. It covers topics such as agent-framework, alpha-evolve, autoresearch.
You can find installation instructions and usage details in the eve GitHub repository at github.com/scaling-group/eve. The project has 55 stars and 8 forks, indicating an active community.
eve is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to eve on Agent Skills Hub include sibyl-research-system, ResearcherSkill, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: